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Visualizing World Cup

Exploring World Cup Championship
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Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Contributing
  5. License
  6. Acknowledgments

About The Project

Analysis of the reference dataset aimed at the implementation of data visualization techniques which allow to understand multiple phenomena inherent to the domain.

The project was divided into three main phases:

  • Definition of task
    • Analysis and understanding of phenomena related to the competition, the players and teams they have taken part in the tournament.
  • Pre processing
    • Preliminary phase useful for modeling the data according to the implementation needs. In this step Tableau Prep Builder, Excel and a DBMS (PostgreSQL) were used.
  • Analysis and implementation
    • Choice of the best visual solutions useful for carrying out the tasks initially defined and implementation of the same through the use of the Flourish and Tableau tools. The developed dashboards include column chart, bar chart race, maps, sankey chart, butterfly chart, connected dot plot, scatter plot e line chart race.

Dataset: "https://www.kaggle.com/abecklas/fifa-world-cup"

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Built With

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Getting Started

Prerequisites

  • Tableau

Installation

  1. Clone the repo
    git clone https://github.com/ClaudioPoli/Visualizing-World-Cup.git
  2. That's it!

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Usage

Here are some of the visualizations created:

Bar Chart - Roll of honor of the competition

image

Sankey Chart - Roll of honor of the competition

image

Dashboard - Competition audience analysis

image

Dashboard - Best scorers

image

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Acknowledgments

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Data Visualization project useful for analyzing the football world championship

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